Job Description
Join NVIDIA as a Senior Machine Learning Applications and Compiler Engineer, focusing on cutting-edge algorithms for LPX inference. Engage in deep learning systems and enhance the efficiency of neural network performance.
In this role, you will lead the development of high-performance runtime and compiler components while optimizing end-to-end inference. Collaborating with hardware architects, your work will define large-scale workload mappings onto NVIDIA platforms, shaping the future of AI technology. Your expertise in systems-level programming and compiler development will be critical.
Key Responsibilities:
• Build and maintain high-performance compiler components
• Implement large-scale inference workload mappings
• Contribute to NVIDIA's software ecosystem and libraries
• Benchmark performance metrics for inference workloads
• Collaborate with design teams to influence new architectures
Requirements:
• MS/PhD in Computer Science or related field
• 5 y...
In this role, you will lead the development of high-performance runtime and compiler components while optimizing end-to-end inference. Collaborating with hardware architects, your work will define large-scale workload mappings onto NVIDIA platforms, shaping the future of AI technology. Your expertise in systems-level programming and compiler development will be critical.
Key Responsibilities:
• Build and maintain high-performance compiler components
• Implement large-scale inference workload mappings
• Contribute to NVIDIA's software ecosystem and libraries
• Benchmark performance metrics for inference workloads
• Collaborate with design teams to influence new architectures
Requirements:
• MS/PhD in Computer Science or related field
• 5 y...